Listeners form average-based representations of individual voice identities
People can learn to identify a person based on their voice, despite variation in their voice. Here, the authors show that this ability relies on a statistical abstraction mechanism during which people form average-based representations of voices, even without prior exposure to the average.
Saved in:
Main Authors: | Nadine Lavan, Sarah Knight, Carolyn McGettigan |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2019
|
Subjects: | |
Online Access: | https://doaj.org/article/75f3b0b4c93745f7a03a9fc8b7b5bdc0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Convergence in voice fundamental frequency during synchronous speech.
by: Abigail R Bradshaw, et al.
Published: (2021) -
Convergence in voice fundamental frequency during synchronous speech
by: Abigail R. Bradshaw, et al.
Published: (2021) -
Listen to these voices!
by: Elizabeth M. Cornelius
Published: (2021) -
Patient feedback: Listening and responding to patient voices
by: Simon Radmore, et al.
Published: (2020) -
Cockpit voice recorder transcript data: Capturing safety voice and safety listening during historic aviation accidents
by: Mark C. Noort, et al.
Published: (2021)